Abstract:
An electronic device is provided. The electronic device includes an ultrasonic sensor, an electromagnetic wave sensor, a memory for storing at least one instruction, and a processor electronically connected to the memory, wherein the processor is configured to control an ultrasonic sensor to emit ultrasonic waves in a direction of clothing, based on the ultrasonic waves, which are reflected by the clothing, are received through the ultrasonic sensor, acquire sound information based on the received ultrasonic waves, control the electromagnetic wave sensor to emit the electromagnetic waves in the direction of the clothing, based on the ultrasonic waves, which are reflected by the clothing, are received through the ultrasonic sensor, acquire spectrum information based on the received electromagnetic waves, and input the sound information and the spectrum information in a neural network model to acquire contamination level information about the clothing.
Abstract:
Disclosed is a server including a communication circuit, a memory, and a processor. The processor is be configured to store identification information and location information of at least one external device in the memory, to receive identification information of an Internet of Things (IoT) device nearby the at least one external device from the at least one external device, using the communication circuit, and to store the identification information of the IoT device in association with the identification information and the location information of the at least one external device in the memory as a database.
Abstract:
A method for selecting a serving cell by a user equipment (UE) to which the inter-site carrier aggregation (CA) technology is according to the intensity of a reception signal of each carrier wave is provided. However, in order to improve resource usage and a throughput of the entire cells, a method is performed in which a PCell and an SCell are selected considering the intensity of a reception signal and a load between cells, the SCell is activated, and loads of the PCell and the SCell are adjusted. The method can balance an inter-cell traffic load, and eventually, increase usage of the entirety of a network and improve a throughput.